Automated Shade Control Using Radiometer Data

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Solution Overview

Problem

Current automated shade control systems are limited in effectively managing solar penetration, heat gain, and interior lighting optimization, as they often rely on uniform shading assumptions and lack comprehensive integration of sensors and algorithms to adapt to varying light conditions and building-specific factors.

Innovation Solution

An automated shade control system that employs motorized window coverings, radiometers, and visible spectrum photo sensors, along with proactive and reactive algorithms, to optimize daylighting, reduce solar heat gain, and manage brightness, incorporating geodesic coordinates, solar position, radiation levels, and veiling glare measurements for dynamic control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Illumination intensity

If clear or high visible light transmitting glazing is used to maximize natural daylight penetration, then interior natural lighting is optimized, but solar heat gain and solar radiation increase excessively

Engineering Contradiction:
Improvenatural daylight penetrationVSAvoidsolar heat gain
Core Design Contradiction:
Illumination intensityVSLoss of energy

Solution Approach 1:

The patent employs dynamic window coverings that automatically adjust their position and opacity based on real-time solar conditions, time of day, season, and interior lighting requirements. This dynamic adaptation allows the system to maximize daylight during favorable conditions while blocking solar heat gain when excessive, resolving the contradiction between light transmission and heat rejection

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the optical and thermal parameters of the window assembly by introducing adjustable coverings with varying transmittance properties. By modifying parameters such as covering position, opacity level, and material selection, the system optimizes both daylight penetration and solar heat gain control for different operational conditions

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If automated shade systems use uniform shading assumptions, then system complexity is reduced, but they fail to optimize graduated shading and local light detection

Engineering Contradiction:
Improveshading control simplicityVSAvoidgraduated shading optimization
Core Design Contradiction:
Device complexityVSIllumination intensity

Solution Approach 1:

The patent divides the window wall into multiple zones with independent shading control, allowing different shading levels across different sections. This segmentation enables graduated shading that optimizes light distribution while maintaining manageable system complexity through modular control architecture

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system implements local quality by allowing different shading characteristics in different regions of the window wall based on local lighting conditions, solar exposure, and interior requirements. Each zone can be independently optimized while the overall system remains coordinated through centralized or distributed control

Inventive Principle:
Principle #3Local quality

3Reliability

If multiple sensor types and algorithms are integrated for comprehensive solar control, then shading accuracy and energy optimization improve, but device complexity increases

Engineering Contradiction:
Improveshading control accuracyVSAvoidsystem integration complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges multiple sensor types (photo sensors, temperature sensors, humidity sensors) and control algorithms into an integrated system that simultaneously monitors and responds to various environmental parameters. This consolidation improves shading accuracy by considering multiple factors while managing complexity through unified system architecture and coordinated control strategies

Inventive Principle:
Principle #5Merging (Combining)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system effectively reduces excessive brightness and heat gain, enhances interior lighting efficiency, and maintains comfortable conditions by dynamically adjusting window coverings based on real-time solar and environmental data, optimizing energy usage and occupant comfort.

Implementation Method 1

The automated shade control system may also contemplate the use of one or more radiometers, visible spectrum photo sensors and/or temperature sensors.

Methodology Applied
Scientific EffectRadiation detection: Absorption (EM radiation)

Implementation Method 2

The invention comprises one or more motorized window coverings... to optimize the interior lighting of a structure... reduction in solar heat gain; reduction in radiant surface temperatures

Methodology Applied
Scientific EffectSolar radiation blocking: Absorption (EM radiation)

Data Source

PatentUS7417397B2Automated shade control method and system
Publication Date: 2008.08.26 MECHOSHADE SYSTEMS LLC
  • US7417397B2 patent drawing
  • US7417397B2 patent drawing
  • US7417397B2 patent drawing

AI summary

This invention generally relates to automated shade systems that employ one or more algorithms to provide appropriate solar protection from direct solar penetration; reduce solar heat gain; reduce radiant surface temperatures; control penetration of the solar ray, optimize the interior natural daylighting of a structure and optimize the efficiency of interior lighting systems. The invention additionally comprises a motorized window covering, radiometers, and a central control system that uses algorithms to optimize the interior lighting of a structure. These algorithms include information such as: geodesic coordinates of a building; solar position; solar angle solar radiation; solar penetration angles; solar intensity; the measured brightness and veiling glare across a surface; time, solar altitude, solar azimuth, detected sky conditions, ASHRAE sky models, sunrise and sunset times, surface orientations of windows, incidence angles of the sun striking windows, window covering positions, minimum BTU load and solar heat gain.